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| SAR Speckle Reduction Based on Generalized Cross Validation and Cycle Spinning |
| Yang Xiao-hui; Jin Hai-yan; Jiao Li-cheng |
| Institute of Intelligent Information Processing, Xidian University, Xi’an 710071, China |
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Abstract Considering the statistical characteristics of SAR images, a novel speckle reduction algorithm is presented in this paper. This technique is by virtue of generalized cross validation and constructs an object function to acquire the asymptotic optimal threshold without of estimating noise variance. After applying the wavelet shrinkage on SAR image, cycle spinning strategy is introduced to wipe off the visible ringing effects along the edges. Numerical tests show that the proposed SAR speckle reduction algorithm provides improvements both in visual effects and quantitative analysis, which can smooth image effectively and remain the edges and texture clearly.
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Received: 18 July 2006
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2007, Vol. 29 
